Distinguished Engineer (AI Security Systems)

Location: USA - Remote

Base salary: $235,000–$350,000 per year for U.S. candidates, plus eligibility for bonuses, equity grants, and benefits.

Company

CrowdStrike is a cybersecurity company developing an AI-native platform that protects organizations and processes almost 3 trillion events per day.

What you will do

• Architect end-to-end AI security systems spanning models, agents, security telemetry, execution environments, endpoint inference, and cloud-scale reasoning.
• Bring frontier AI to endpoints using distillation, quantization, compact models, and kernel- and user-mode telemetry.
• Build streaming detection and inference systems across trillions of events with GPU-efficient serving, model routing, and cost, latency, and reliability controls.
• Develop autonomous defenders that investigate, hunt, write and validate detections, and drive response and remediation.
• Create learning systems using adversary emulation, simulations, expert feedback, reinforcement learning, post-training, reward modeling, and synthetic data.
• Lead technical direction, benchmarks, cyber ranges, evaluation harnesses, productionization, mentoring, and collaboration with AI and security research communities.

Requirements

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field; PhD preferred.
• 15+ years of industry experience in software engineering, machine learning, or security engineering, or 12+ years with a PhD.
• 8+ years at a senior technical leadership level such as Principal, Distinguished, or equivalent.
• Track record of architecting, building, and shipping production AI or ML systems for security on endpoints or at cloud scale.
• Hands-on expertise with large language models and agentic architectures, including planning, tool use, memory, context management, post-training, reward modeling, and inference optimization.
• Deep expertise in detection and response, threat hunting, malware analysis, vulnerability research, adversary tradecraft, or security automation.
• Expert-level proficiency in one or more of C, C++, Rust, Go, or Python.
• Deep experience with distributed systems, high-throughput data infrastructure, and GPU inference stacks such as vLLM, TensorRT-LLM, Triton, or SGLang.
• Scientific rigor, including hypothesis formation, credible baselines, meaningful experiments, and evidence-based conclusions.
• Experience setting technical vision, raising standards for senior engineers and researchers, communicating complex tradeoffs, and using AI to improve decisions, workflows, efficiency, and business outcomes.

Nice to have

• Cybersecurity industry experience across endpoint, cloud, identity, SIEM, or threat intelligence.
• Experience at a frontier AI lab in pre-training, post-training, reinforcement learning, inference, evaluation, or safety.
• Experience with adversarial machine learning, AI red teaming, autonomous cyber reasoning systems, or AI-driven offensive security.
• Experience building extensible AI or agentic platforms for safely developing, evaluating, optimizing, and deploying AI applications at scale.
• Recognized technical contributions through publications, patents, influential open-source projects, or conference talks spanning AI and security.

Culture & Benefits

• Work on frontier technology protecting organizations, hospitals, economies, and critical infrastructure.
• Access trillions of daily Falcon events, adversary intelligence, and high-fidelity cyber environments.
• Help define the technical culture, architecture, and standards of a new frontier lab.
• Collaborate with AI researchers, offensive operators, threat hunters, and incident responders.
• Receive health and wellness programs, paid vacation and holidays, paid parental and adoption leave, professional development opportunities, employee networks, and volunteer opportunities.
• Benefits include bonuses, equity awards, health insurance, 401(k), and paid time off.